Find the friction
Funnel data and user behaviour reveal where purchase intent is being lost.
CRO Optimization
More revenue. Same traffic.
Most stores leave revenue on the table every day - not because traffic is lacking, but because conversion isn't right.
Free CRO Analysis
- Since 2019
- 150+ Migrations and Relaunches
- Official Shopify Plus Partner
What is CRO
What does conversion rate optimization really mean?
CRO is not a gut feeling. It's a structured process of data analysis, user research, hypothesis building, and controlled testing.
Analysis before action
First understand why users don't convert: GA4, funnel data and session recordings show the spot. Only then do we intervene, instead of changing several things at once.
Data over opinions
Decisions are based on heatmaps, session recordings and quantitative analysis. The quantitative picture gives the question, the qualitative one the explanation. That ends the debate about colours and copy length.
Test, don't guess
A/B tests show what really works. We test what is contested and what enough users pass through. Clear flaws in the flow get fixed, not put to a vote.
Sustainable impact
Optimisations that last instead of short-term quick fixes. Implementation is followed by monitoring and the next iteration, because assortment, campaigns and user expectations keep changing.
Where do most stores lose their revenue?
01
Checkout process too long or complicated
02
Product pages without clear purchase decision triggers
03
Missing trust elements like reviews or guarantees
04
Poor mobile UX despite majority mobile traffic
05
Slow load times increasing bounce rates
06
Unclear navigation and missing internal linking
How does a CRO project work with us?
01
Analysis & Audit
Complete analysis of GA4, heatmaps and funnel data. We record how many users are lost at which step - that is the basis for everything that follows.
02
User Research
Qualitative analysis of user behaviour and purchase abandonment via session recordings. The numbers show where it stalls, the recordings show why users drop out at that point.
03
Hypotheses & Prioritization
Concrete hypotheses, prioritised by impact and effort. First come the points in the funnel that carry the largest share of revenue, not the ideas with the loudest advocate.
04
A/B Testing
Controlled tests with statistical significance. We test one change per test, otherwise the effect can no longer be attributed to a single adjustment later on.
05
Implementation
Winning variants are cleanly implemented in the theme instead of being left as a test script. Whatever lost is rolled back and documented.
06
Monitoring & Iteration
CRO is not a project but a continuous process. Shipped changes stay under observation, and the next hypotheses come out of the live data.
Which areas of the funnel do we optimize?
Product Pages
Copywriting, image strategy, social proof and clear CTAs. Missing trust elements like reviews or guarantees and unclear purchase decision triggers are the most common reasons for drop-offs here.
Checkout
Reducing abandonment through a simplified flow. Users add to cart and then drop out - usually at steps, fields and options nobody needs at that point.
Category & Navigation
Filter logic and internal linking. If users don't find what they are looking for, no product page can help. Searches without results and filters without hits are the clearest signals.
Mobile UX
Touch-optimised interactions and fast load times. Most traffic is mobile while conversion there is often lower - which is why every change is judged on the phone first.
Improve what matters
We prioritise the changes with the greatest impact on checkout completion and basket value.
Prove the impact
Testing and monitoring show which improvements actually generate more revenue.
How do you know an optimisation actually worked?
- 01
Record the baseline
Before the first change we capture conversion rate, cart value and abandonment per funnel step as of a fixed date. Without that baseline no effect can be proven later.
- 02
Check the measurement basis
Next we check whether GA4 and the numbers in the store match. If they differ, you are testing against a measurement error instead of user behaviour - then tracking comes first.
- 03
One change per test
Every hypothesis runs as its own test. Anything shipped as a bundle cannot be pulled apart afterwards. Then nobody can say which change worked.
- 04
Wait for significance
A test is evaluated once enough users have passed through to reach statistical significance. Stopping earlier produces numbers that look different on the next run.
- 05
Compare against the baseline
After the rollout we put the metrics against the baseline and record what won and what lost. That decides what goes into the next round.
Is CRO your next step right now?
Then you are starting in the right place
Traffic is there, revenue is not
Your store gets visitors, but revenue does not grow with them. The bottleneck is not visibility, it is the funnel.
The checkout loses customers
Users add to cart and then abandon. A checkout that is too long or too complicated is one of the most common reasons.
Mobile performs worse than desktop
Most of your traffic is mobile, but conversion there is clearly lower. Then mobile usage itself is the topic.
Changes are made on gut feeling
Your team argues about colours and copy length without anyone being able to prove what works. Heatmaps, recordings and tests end that discussion.
Then something else will do more for you
Your numbers cannot be trusted
CRO starts with an analysis of GA4 and funnel data. If that data has gaps, you are testing against a measurement error instead of user behaviour.
To tracking & analyticsThe store is too slow
Slow load times raise bounce rates before any optimisation can take effect. Then load time is the more pressing problem.
To Shopify performanceToo little traffic for tests
A/B tests need enough users to reach statistical significance. If too little traffic arrives, visibility comes first.
To Shopify SEOEngagement
How can we work on CRO together?
Whether you first want to know where revenue is lost, want to test deliberately, or want to optimise continuously - that gives three shapes of collaboration.
CRO analysis
Who it is for
For stores with traffic but nobody on the team who can prove at which point in the funnel revenue is being lost.
What is included
- Analysis of GA4, heatmaps and funnel data
- Qualitative analysis of user behaviour and purchase abandonment
- Hypotheses prioritised by impact and effort
How it ends
Ends with a prioritised list of hypotheses your team or your agency can work through without us.
Testing programme
Who it is for
For stores with enough traffic that no longer want to ship changes on opinion, but prove them first.
What is included
- Controlled A/B tests with statistical significance
- Clean implementation of the winning variants
- Documentation of what won and what lost
How it ends
Ends once the tested hypotheses are decided and the winners run in production.
Continuous optimisation
Who it is for
For stores that do not run CRO as a one-off project but keep developing product pages, checkout, category and mobile usage.
What is included
- Regular review of funnel metrics
- New hypotheses from live data
- Monitoring of the changes shipped
How it ends
Produces optimisations that last instead of a series of short-term quick fixes.
Brands with €950M+ GMV trust NICCOS
Common questions about conversion optimisation
What is conversion rate optimisation?
CRO is a structured process of data analysis, user research, hypothesis building and controlled testing. The goal is not more traffic but more revenue from the traffic you already have.
What data do you need to start?
Access to GA4 and your store's funnel data, plus heatmaps and session recordings. The quantitative picture gives you the question, the qualitative one the explanation. If that data foundation is missing, tracking comes before optimisation.
Where is it usually worth starting?
Usually where most users are lost: product pages, checkout, category and navigation, and mobile usage. Which of these comes first in your store is decided by the analysis, not by the order on this page.
Does every change need an A/B test?
No. A test is worth it when the change is contested and enough users pass through to reach statistical significance. Clear flaws in the flow get fixed, not tested.
What happens to tests that lose?
The variant is rolled back and the result stays documented. A lost test is not wasted effort: it rules out a hypothesis and stops the same idea from being discussed again later. That is why we record both - what won and what lost.
How do CRO, tracking and performance fit together?
They build on each other. CRO starts with an analysis of GA4 and funnel data - if that data has gaps, tracking comes first. If load times are too long, users bounce before any optimisation can take effect. And without enough traffic there is no basis for meaningful tests.
Is CRO a project or a process?
A process. Your assortment, campaigns and user expectations keep changing. That is why implementation is followed by monitoring and the next iteration - otherwise the effect fades over time.
How much revenue is your store leaving on the table?
We analyze your Shopify store for free and show you concrete conversion potential.
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